Category

Antifragile explains why understanding x is different from f(x) the payoff or exposure from x. Most of the harm/gains come from f(x) being convex or concave not understanding x. Forecasting is off an average, and average is for academics and other morons.

This video illustrates the point with XIV that went bust while being correct about volatility –and why people who make money are usually wrong.

Category

Oct.16 — The Black Monday crash was 30 years ago this week. “Black Swan” author Nassim Taleb was a trader for First Boston at the time. He made a lot of money while others lost fortunes. He recounts the experience with Bloomberg’s Erik Schatzker.

Category

Aug.16 — Nassim Nicholas Taleb, adviser at Universa Investments, sat down for an interview with Erik Schatzker Tuesday evening in New York. Taleb, famous for his assessment of risk, says there are greater risks out there than nuclear war with North Korea.

Category

For fat tailed distributions, the empirical distributions does not reflect the true statistical properties, particularly for extremes. This is a simplified side note to a paper with Mark Spitznagel on why people make a mistake by looking at raw historical data as “empiricism”.

So I am fed up with academics who say “we know it is fat tails” yet not understand the consequences.

Category

This tutorial presents the intuitions of the randomness of sample correlation (spurious correlation) and the methodologies in derivations. Some later sections are somewhat technical as Nassim rederived an old equation with more precise functions (in order to apply to fat tails) and showed the distribution of the maximum of d variables with n points per variable.
This paves the way to the real scientific work on random matric theory under fat tails and the failure of Marchenko-Pastur.